18
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Eliciting and prioritising determinants of improved care in multimorbidity: A modified online Delphi study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Multimorbidity is a major challenge to health and social care systems around the world. There is limited research exploring the wider contextual determinants that are important to improving care for this cohort. In this study, we aimed to elicit and prioritise determinants of improved care in people with multiple conditions.

          Methods

          A three-round online Delphi study was conducted in England with health and social care professionals, data scientists, researchers, people living with multimorbidity and their carers.

          Results

          Our findings suggest a care system which is still predominantly single condition focused. ‘Person-centred and holistic care’ and ‘coordinated and joined up care’, were highly rated determinants in relation to improved care for multimorbidity. We further identified a range of non-medical determinants that are important to providing holistic care for this cohort.

          Conclusions

          Further progress towards a holistic and patient-centred model is needed to ensure that care more effectively addresses the complex range of medical and non-medical needs of people living with multimorbidity. This requires a move from a single condition focused biomedical model to a person-based biopsychosocial approach, which has yet to be achieved.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: not found

          Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

          Long-term disorders are the main challenge facing health-care systems worldwide, but health systems are largely configured for individual diseases rather than multimorbidity. We examined the distribution of multimorbidity, and of comorbidity of physical and mental health disorders, in relation to age and socioeconomic deprivation. In a cross-sectional study we extracted data on 40 morbidities from a database of 1,751,841 people registered with 314 medical practices in Scotland as of March, 2007. We analysed the data according to the number of morbidities, disorder type (physical or mental), sex, age, and socioeconomic status. We defined multimorbidity as the presence of two or more disorders. 42·2% (95% CI 42·1-42·3) of all patients had one or more morbidities, and 23·2% (23·08-23·21) were multimorbid. Although the prevalence of multimorbidity increased substantially with age and was present in most people aged 65 years and older, the absolute number of people with multimorbidity was higher in those younger than 65 years (210,500 vs 194,996). Onset of multimorbidity occurred 10-15 years earlier in people living in the most deprived areas compared with the most affluent, with socioeconomic deprivation particularly associated with multimorbidity that included mental health disorders (prevalence of both physical and mental health disorder 11·0%, 95% CI 10·9-11·2% in most deprived area vs 5·9%, 5·8%-6·0% in least deprived). The presence of a mental health disorder increased as the number of physical morbidities increased (adjusted odds ratio 6·74, 95% CI 6·59-6·90 for five or more disorders vs 1·95, 1·93-1·98 for one disorder), and was much greater in more deprived than in less deprived people (2·28, 2·21-2·32 vs 1·08, 1·05-1·11). Our findings challenge the single-disease framework by which most health care, medical research, and medical education is configured. A complementary strategy is needed, supporting generalist clinicians to provide personalised, comprehensive continuity of care, especially in socioeconomically deprived areas. Scottish Government Chief Scientist Office. Copyright © 2012 Elsevier Ltd. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Delphi method as a research tool: an example, design considerations and applications

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Guidance on Conducting and REporting DElphi Studies (CREDES) in palliative care: Recommendations based on a methodological systematic review.

              The Delphi technique is widely used for the development of guidance in palliative care, having impact on decisions with relevance for patient care.
                Bookmark

                Author and article information

                Journal
                J Multimorb Comorb
                J Multimorb Comorb
                spcob
                COB
                Journal of Multimorbidity and Comorbidity
                SAGE Publications (Sage UK: London, England )
                2633-5565
                5 September 2023
                Jan-Dec 2023
                : 13
                : 26335565231194552
                Affiliations
                [1 ]Primary Care Research Centre, Ringgold 12211, universityUniversity of Southampton; , Southampton, UK
                [2 ]Wolfson Institute of Population Health, Ringgold 105714, universityQueen Mary University of London; , London, UK
                [3 ]Institute of Epidemiology and Health Care, Ringgold 4919, universityUniversity College London (UCL); , London, UK
                [4 ]MRC/CSO Social and Public Health Sciences Unit, Ringgold 3526, universityUniversity of Glasgow; , Glasgow, UK
                [5 ]Division of Population Health, Health Services Research and Primary Care, Ringgold 5292, universityUniversity of Manchester; , Manchester, UK
                [6 ]Personal Social Services Research Unit, Ringgold 2240, universityUniversity of Kent; , Canterbury, UK
                [7 ]School of Psychology, Ringgold 12211, universityUniversity of Southampton; , Southampton, UK
                [8 ]Digital Health and Biomedical Engineering, School of Electronics and Computer Science, Ringgold 7423, universityUniversity of Southampton; , Southampton, UK
                [9 ]Nuffield Department of Primary Care Health Sciences, Ringgold 6396, universityUniversity of Oxford; , Oxford, UK
                Author notes
                [*]Glenn Simpson, Primary Care Research Centre, The University of Southampton, Aldermoor Close, Southampton SO16 5ST, UK. Email: G.W.Simpson@ 123456soton.ac.uk
                Author information
                https://orcid.org/0000-0002-1753-942X
                Article
                10.1177_26335565231194552
                10.1177/26335565231194552
                10483969
                37692105
                f094b5d2-b335-4b9b-8b8a-8970d412e7f3
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: National Institute for Health Research;
                Award ID: NIHR202637
                Categories
                Original Article
                Custom metadata
                ts10
                January-December 2023

                multimorbidity,delphi study,integrated care,personalised care

                Comments

                Comment on this article